Triple
T2050841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert F. Christy |
E45562
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Christy |
E111111
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christy | Statement: [Robert F. Christy, familyName, Christy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christy Context triple: [Robert F. Christy, familyName, Christy]
-
A.
Christy
chosen
Christy was the nickname of Christy Mathewson, a legendary early 20th-century Major League Baseball pitcher and Hall of Famer known for his dominance with the New York Giants.
-
B.
Christina
Christina is a feminine given name widely used in many cultures, often associated with notable figures in entertainment, arts, and public life.
-
C.
Christa
Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
-
D.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
-
E.
Charlene
Charlene is a feminine given name derived from the male name Charles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98f5f4881908d9aa0f10be44041 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2009951881909d562821fef39c88 |
completed | March 9, 2026, 1:19 a.m. |
Created at: March 4, 2026, 7:39 p.m.